1,171 to 1,180 of 3,858 Results
Mar 17, 2025
Napoli, Otávio Oliveira; Duarte, Dami; Alves, Patrick dos Santos; Palo Soto, Darlinne Hubert; Oliveira, Henrique Evangelista de; Rocha, Anderson de Rezende; Boccato, Levy; Borin, Edson, 2025, "Dados de replicação para: DAGHAR: a benchmark for domain adaptation and generalization in smartphone-based human activity recognition", https://doi.org/10.25824/redu/51VZSW, Repositório de Dados de Pesquisa da Unicamp, V1
DAGHAR benchmark is a curated dataset collection designed for domain adaptation and domain generalization studies in HAR tasks, using inertial sensors such as accelerometers and gyroscopes, from "A benchmark for domain adaptation and generalization in smartphone-based human activ... |
Inacio, Matheus Victor; Dedini, Katia Lucchesi Cavalca; Daniel, Gregory Bregion, 2025, "Dataset of non-circular profiles in hydrodynamic bearings", https://doi.org/10.25824/redu/MC60TY, Repositório de Dados de Pesquisa da Unicamp, V1
The dataset was generated using a turbine model by introducing wear faults, ovalization, and a combination of ovalization with wear in the hydrodynamic bearings, as described in the paper available at https://doi.org/10.1016/j.mechmachtheory.2024.105819. This dataset contains two... |
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Feb 24, 2025 -
Dataset of non-circular profiles in hydrodynamic bearings
Adobe PDF - 1.0 MB -
MD5: c367875b20b1e684d199f850efa3f08d
This document aims to provide details about the data contained in this dataset and instructions for accessing it. |
Feb 24, 2025 -
Dataset of non-circular profiles in hydrodynamic bearings
ZIP Archive - 70.9 MB -
MD5: 62f196cdd6cfc82fb8f217b4ffac69f0
File with folders containing all the data. The hierarchical structure of this file is described in “Dataset instructions”. |
Feb 24, 2025 -
Lamar dataset: a study on rotating machinery failures
ZIP Archive - 4.7 GB -
MD5: d2a5a3fef9fbb348e98dcd2a50c3ca65
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Feb 24, 2025 -
Lamar dataset: a study on rotating machinery failures
ZIP Archive - 3.6 GB -
MD5: 2eddb1c02af5d7340ad29f897b6d4124
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Feb 24, 2025 -
Lamar dataset: a study on rotating machinery failures
ZIP Archive - 4.3 GB -
MD5: 72088475a6bf5e419fcab2d0dd7e2b44
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Plain Text - 768 B -
MD5: 7cbc506b79f9620b1228e45be5a19f59
Description of the hierarchical structure of the datset. |
Feb 10, 2025
Tagliapietra, Bruna Lago; Clerici, Maria Teresa Pedrosa Silva, 2025, "Physical and chemical analysis of seaweed and bisocytes with seaweed flour", https://doi.org/10.25824/redu/9HVYOX, Repositório de Dados de Pesquisa da Unicamp, V1, UNF:6:xiEU8c4p8n2bTsGARThfyw== [fileUNF]
This dataset presents the results of physicochemical and technological analyses conducted on biscuits and seaweed, aiming to characterize their nutritional and functional properties. The information is organized into different spreadsheets, covering proximate composition (moistur... |
Tabular Data - 1.7 KB - 10 Variables, 18 Observations - UNF:6:xiEU8c4p8n2bTsGARThfyw==
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